Need assistance properly plotting a 3D variable from a NetCDF (.nc) file.
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I want to spatially show the evapotranspiration data contained within a NetCDF file, but almost all of the values appear the same color when plotted, when in reality there should be a wide range of colors. I think I may need to employ the Attributes of the variable in some way, but I am not sure how. Or, perhaps it is an issue with some outlier value that is making the majority of data points look the same. Here is what I have:
%% LOAD THE FILE INTO THE WORKSPACE
% Save the NetCDF file name as a character variable:
filename = 'Evapotranspiration-Data.nc';
% Display contents of NetCDF file (output pasted at the bottom of the question)
ncdisp(filename);
% Get the structure of the file
S = ncinfo(filename);
% Extract the variables
lon = abs(ncread(filename, 'longitude')-360); % longitudes in degress W
lat = ncread(filename, 'latitude'); % latitudes in degrees N
t = ncread(filename, 'time'); % time in 'hours since 1901-01-01 00:00:00'
ET = ncread(filename, 'evavt'); % Evapotranspiration in 'meters H20 equiv.'
% Standardize ET data
% 1. Extract missing value from structure
mv = S.Variables(4).Attributes(4).Value; % missing value
% 2. Standardize
ET = standardizeMissing(ET,mv); % Set all "missing values" to NaN
%% PLOT THE DATA
figure
imagescn(lat,lon,ET(:,:,1)) % plot first month of ET data
% I am using the function imagescn() from
% https://www.mathworks.com/matlabcentral/fileexchange/61293-imagescn,
% but I am also happy to work with:
% contourf(lat,lon,ET(:,:,1),'EdgeColor','none')
% Although the results are basically the same.
% Adjust orientation of figure and set color scheme
view([-90 90])
colormap winter
% Make a colorbar and give it a label
cb = colorbar;
cb.Label.String = 'Evapotranspiration (m w.e.)';
Here is the figure:
Here is the output from ncdisp(filename):
Dimensions:
longitude = 451
latitude = 301
time = 732
Variables:
longitude
Size: 451x1
Dimensions: longitude
Datatype: single
Attributes:
units = 'degrees_east'
long_name = 'longitude'
latitude
Size: 301x1
Dimensions: latitude
Datatype: single
Attributes:
units = 'degrees_north'
long_name = 'latitude'
time
Size: 732x1
Dimensions: time
Datatype: int32
Attributes:
units = 'hours since 1900-01-01 00:00:00.0'
long_name = 'time'
calendar = 'gregorian'
evavt
Size: 451x301x732
Dimensions: longitude,latitude,time
Datatype: int16
Attributes:
scale_factor = 1.1369e-07
add_offset = -0.0037253
_FillValue = -32767
missing_value = -32767
units = 'm of water equivalent'
long_name = 'Evaporation from vegetation transpiration'
2 Comments
Cris LaPierre
on 21 Dec 2021
Can you share you nc file? You will have to change the extenstion to .txt to attach it here (using the paperclip icon)
Answers (1)
Cris LaPierre
on 21 Dec 2021
The difference is that your color variable is 3D. Each sheet corresponds to a different time. For visualizing, I think you want to pick a specific time.
filename = 'Evapotranspiration-Data.nc';
lon = ncread(filename, 'longitude'); % longitudes in degrees W
lat = ncread(filename, 'latitude'); % latitudes in degrees N
t = ncread(filename, 'time'); % time in 'hours since 1901-01-01 00:00:00'
ET = ncread(filename, 'evavt'); % Evapotranspiration in 'meters H20 equiv.'
% Standardize ET data
mv = S.Variables(4).Attributes(4).Value; % missing value
ET = standardizeMissing(ET,mv); % Set all "missing values" to NaN
[Lat Lon] = meshgrid(lat_range,lon_range);
%% PLOT THE DATA
figure
axesm('eqdcylin',"MapLatLimit",lat([1,end]),"MapLonLimit",lon([1,end]))
pcolorm(Lat,Lon,ET(:,:,1));
demcmap(ET(:,:,1))
tightmap
colorbar
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